Evaluation of Operating State for Smart Electricity Meters Based on Transformer–Encoder–BiLSTM

Author:

Zhao Zhongyong1ORCID,Chen Yu1ORCID,Liu Jiangnan1,Cheng Yingying2,Tang Chao1ORCID,Yao Chenguo3ORCID

Affiliation:

1. College of Engineering and Technology, Southwest University, Chongqing, China

2. State Grid Chongqing Electric Power Company Marketing Service Center (Metrology Center), Chongqing, China

3. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Venture and Innovation Support Program for Chongqing Overseas Returnees

Natural Science Foundation of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Nonlinear modeling of measurement errors in gateway energy meters;Measurement: Sensors;2024-10

2. Operational risk assessment of hydropower units based on PSSCA-VMD-CNN-GBiLSTM and multi-feature fusion;Computers and Electrical Engineering;2024-09

3. Multi-channel deterioration trend prediction of pumping storage unit based on temporal graph convolution network;Journal of Physics: Conference Series;2024-06-01

4. Analyzing Consumer Behavior Insights from Smart Meter Data: A Comparative Study of Deep Learning and Traditional Machine Learning Approaches;2024 11th Iranian Conference on Renewable Energy and Distribution Generation (ICREDG);2024-03-06

5. Basic Error Prediction for Smart Meters Based on ISSA-LSSVM With Combination Weighting;2023 2nd International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT);2023-12-29

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